Python 3 code to extract job listings from Glassdoor.com

glassdoor.txt

from lxml import html, etree
import requests
import re
import os
import sys
import unicodecsv as csv
import argparse
import json

def parse(keyword, place):

	headers = {	'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
				'accept-encoding': 'gzip, deflate, sdch, br',
				'accept-language': 'en-GB,en-US;q=0.8,en;q=0.6',
				'referer': 'https://www.glassdoor.com/',
				'upgrade-insecure-requests': '1',
				'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/51.0.2704.79 Chrome/51.0.2704.79 Safari/537.36',
				'Cache-Control': 'no-cache',
				'Connection': 'keep-alive'
	}

	location_headers = {
		'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.01',
		'accept-encoding': 'gzip, deflate, sdch, br',
		'accept-language': 'en-GB,en-US;q=0.8,en;q=0.6',
		'referer': 'https://www.glassdoor.com/',
		'upgrade-insecure-requests': '1',
		'user-agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Ubuntu Chromium/51.0.2704.79 Chrome/51.0.2704.79 Safari/537.36',
		'Cache-Control': 'no-cache',
		'Connection': 'keep-alive'
	}
	data = {"term": place,
			"maxLocationsToReturn": 10}

	location_url = "https://www.glassdoor.co.in/findPopularLocationAjax.htm?"
	try:
		# Getting location id for search location
		print("Fetching location details")
		location_response = requests.post(location_url, headers=location_headers, data=data).json()
		place_id = location_response[0]['locationId']
		job_litsting_url = 'https://www.glassdoor.com/Job/jobs.htm'
		# Form data to get job results
		data = {
			'clickSource': 'searchBtn',
			'sc.keyword': keyword,
			'locT': 'C',
			'locId': place_id,
			'jobType': ''
		}

		job_listings = []
		if place_id:
			response = requests.post(job_litsting_url, headers=headers, data=data)
			# extracting data from
			# https://www.glassdoor.com/Job/jobs.htm?suggestCount=0&suggestChosen=true&clickSource=searchBtn&typedKeyword=andr&sc.keyword=android+developer&locT=C&locId=1146821&jobType=
			parser = html.fromstring(response.text)
			# Making absolute url 
			base_url = "https://www.glassdoor.com"
			parser.make_links_absolute(base_url)

			XPATH_ALL_JOB = '//li[@class="jl"]'
			XPATH_NAME = './/a/text()'
			XPATH_JOB_URL = './/a/@href'
			XPATH_LOC = './/span[@class="subtle loc"]/text()'
			XPATH_COMPANY = './/div[@class="flexbox empLoc"]/div/text()'
			XPATH_SALARY = './/span[@class="green small"]/text()'

			listings = parser.xpath(XPATH_ALL_JOB)
			for job in listings:
				raw_job_name = job.xpath(XPATH_NAME)
				raw_job_url = job.xpath(XPATH_JOB_URL)
				raw_lob_loc = job.xpath(XPATH_LOC)
				raw_company = job.xpath(XPATH_COMPANY)
				raw_salary = job.xpath(XPATH_SALARY)

				# Cleaning data
				job_name = ''.join(raw_job_name).strip('–') if raw_job_name else None
				job_location = ''.join(raw_lob_loc) if raw_lob_loc else None
				raw_state = re.findall(",\s?(.*)\s?", job_location)
				state = ''.join(raw_state).strip()
				raw_city = job_location.replace(state, '')
				city = raw_city.replace(',', '').strip()
				company = ''.join(raw_company).replace('–','')
				salary = ''.join(raw_salary).strip()
				job_url = raw_job_url[0] if raw_job_url else None

				jobs = {
					"Name": job_name,
					"Company": company,
					"State": state,
					"City": city,
					"Salary": salary,
					"Location": job_location,
					"Url": job_url
				}
				job_listings.append(jobs)

			return job_listings
		else:
			print("location id not available")

	except:
		print("Failed to load locations")

if __name__ == "__main__":

	''' eg-:python 1934_glassdoor.py "Android developer", "new york" '''

	argparser = argparse.ArgumentParser()
	argparser.add_argument('keyword', help='job name', type=str)
	argparser.add_argument('place', help='job location', type=str)
	args = argparser.parse_args()
	keyword = args.keyword
	place = args.place
	print("Fetching job details")
	scraped_data = parse(keyword, place)
	print("Writing data to output file")

	with open('%s-%s-job-results.csv' % (keyword, place), 'wb')as csvfile:
		fieldnames = ['Name', 'Company', 'State',
					  'City', 'Salary', 'Location', 'Url']
		writer = csv.DictWriter(csvfile, fieldnames=fieldnames,quoting=csv.QUOTE_ALL)
		writer.writeheader()
		if scraped_data:
			for data in scraped_data:
				writer.writerow(data)
		else:
			print("Your search for %s, in %s does not match any jobs"%(keyword,place))